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Update app.py
Browse files
app.py
CHANGED
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@@ -17,21 +17,23 @@ def load_model():
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st.error(f"Failed to load model: {e}")
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return None, None
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tokenizer, model = load_model()
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if not tokenizer or not model:
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st.stop()
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# Default to CPU
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device = torch.device("cpu")
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model = model.to(device)
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st.session_state.messages = [
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{"role": "assistant", "content": "Hello there! How can I help you with gardening today?"}
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]
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.write(message["content"])
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@@ -39,11 +41,11 @@ for message in st.session_state.messages:
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def generate_response(prompt):
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try:
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# Tokenize the input prompt
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inputs = tokenizer(prompt, return_tensors="pt").to(device)
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# Make sure that inputs are passed properly to the model
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outputs = model.generate(inputs["input_ids"], max_new_tokens=150, temperature=0.7)
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# Decode the output to text
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return response
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@@ -51,7 +53,7 @@ def generate_response(prompt):
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st.error(f"Error during text generation: {e}")
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return "Sorry, I couldn't process your request."
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user_input = st.chat_input("Type your gardening question here:")
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if user_input:
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@@ -59,10 +61,12 @@ if user_input:
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with st.chat_message("user"):
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st.write(user_input)
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with st.spinner("I'm gonna tell you..."):
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response = generate_response(user_input)
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st.write(response)
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st.session_state.messages.append({"role": "
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st.error(f"Failed to load model: {e}")
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return None, None
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# Load model and tokenizer
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tokenizer, model = load_model()
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if not tokenizer or not model:
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st.stop()
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# Default to CPU, or use GPU if available
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = model.to(device)
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# Initialize session state messages if not already initialized
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if "messages" not in st.session_state:
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st.session_state.messages = [
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{"role": "assistant", "content": "Hello there! How can I help you with gardening today?"}
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]
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# Display the conversation history
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.write(message["content"])
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def generate_response(prompt):
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try:
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# Tokenize the input prompt
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inputs = tokenizer(prompt, return_tensors="pt", truncation=True, padding=True, max_length=512).to(device)
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# Ensure the model is generating properly (without a target)
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outputs = model.generate(inputs["input_ids"], max_new_tokens=150, temperature=0.7, do_sample=True)
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# Decode the output to text
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return response
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st.error(f"Error during text generation: {e}")
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return "Sorry, I couldn't process your request."
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# User input field for asking questions
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user_input = st.chat_input("Type your gardening question here:")
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if user_input:
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with st.chat_message("user"):
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st.write(user_input)
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# Generate and display assistant's response
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with st.chat_message("assistant"):
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with st.spinner("I'm gonna tell you..."):
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response = generate_response(user_input)
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st.write(response)
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# Update session state with the new conversation
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st.session_state.messages.append({"role": "user", "content": user_input})
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st.session_state.messages.append({"role": "assistant", "content": response})
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