Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the text-generation pipeline with Mistral model
+pipe = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.3")
+
+# Define the function to process user input
+def classify_text(text):
+    prompt = "Classify the following text into a category or topic:"
+    input_text = f"{prompt}\n{text}"
+    results = pipe(input_text, max_length=100, num_return_sequences=1)
+    return results[0]['generated_text']
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(lines=4, placeholder="Enter your text here..."),
+    outputs=gr.Textbox(lines=4),
+    title="Text Classification with Mistral",
+    description="Enter some text to classify it into a category or topic using the Mistral-7B-Instruct-v0.3 model."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()