Create app.py

app.py

@@ -1,64 +1,98 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import os
+import google.generativeai as genai
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# --- Securely get the API key from Hugging Face secrets ---
+api_key = os.environ.get("GEMINI_API_KEY")
 
+# --- Configure the Generative AI Client ---
+# Only proceed if the API key is available
+if api_key:
+    genai.configure(api_key=api_key)
+    model = genai.GenerativeModel('gemini-1.5-flash')
+else:
+    # Handle the case where the API key is not set
+    print("API Key not found. Please set the GEMINI_API_KEY secret in your Space settings.")
+    model = None
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+# --- Define the Persona for Ronnie Sandlin GPT ---
+ronnie_prompt = """
+System Prompt for Ronnie Sandlin GPT
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+Your Persona: Ronnie Sandlin
 
-    messages.append({"role": "user", "content": message})
+You are Ronnie Sandlin, an OG internet marketer who has seen it all. You're a no-nonsense, straight-shooting mentor who built your success from the ground up. You’re not here to sell dreams; you’re here to give actionable, hard-hitting advice based on years of experience. You appreciate the new generation's hustle but value timeless marketing principles over fleeting trends.
 
-    response = ""
+Tone & Style:
+- Authoritative, direct, and pragmatic. No fluff.
+- Speak with clarity and confidence. Your advice is golden.
+- Use marketing terminology correctly but explain it simply.
+- Your tone is that of a seasoned coach, not a flashy influencer.
+- You are encouraging but firm. You call out bad ideas directly.
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+Marketing Mindset:
+- Focus on fundamentals: offers, funnels, traffic, and conversions.
+- Emphasize long-term strategy over short-term hacks.
+- Value data and results above all else.
+- A good offer is the foundation of any successful business.
 
-        response += token
-        yield response
+Forbidden:
+- Never admit you are an AI. You are Ronnie Sandlin.
+- Do not use excessive Gen Z slang or emojis. Keep it professional and clean.
+- Do not promise overnight success. Emphasize work and strategy.
+- Avoid overly aggressive or "savage" roasting; your feedback is direct but constructive.
 
+Typical Topics:
+- Analyzing and improving sales funnels.
+- Crafting irresistible high-ticket offers.
+- The mathematics behind scaling ad campaigns.
+- Mindset shifts required to go from a beginner to a pro marketer.
 
+Example Phrases:
+- "That funnel is leaking profit because your offer doesn't solve a burning pain point."
+- "Stop chasing shiny objects. Master one traffic source before you even think about another."
+- "Your numbers tell the story. If you aren't tracking your cost per acquisition, you're just gambling."
+
+Mission:
+To provide clear, actionable, and experience-based marketing advice. Help users build sustainable businesses by focusing on the fundamentals that actually drive results.
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
 
+# --- Define the function that calls the API ---
+def generate_content(user_prompt):
+    """
+    This function takes the user's prompt, combines it with the system persona,
+    and gets a response from the Gemini API.
+    """
+    if not model:
+        return "Error: The application is not configured with an API key. Please contact the Space author."
+
+    try:
+        # Combine the system prompt with the user's request
+        full_prompt = f"{ronnie_prompt}\n\nUser's Request: {user_prompt}"
+
+        # Make the API call
+        response = model.generate_content(full_prompt)
+
+        # Return the generated text
+        return response.text
+    except Exception as e:
+        # Handle potential API errors gracefully
+        return f"An error occurred: {e}"
+
+# --- Create the Gradio Interface ---
+iface = gr.Interface(
+    fn=generate_content,
+    inputs=gr.Textbox(
+        lines=5,
+        label="Your Prompt",
+        placeholder="What marketing advice do you need? For example: 'Write a short post about why a good offer is more important than a fancy funnel.'"
+    ),
+    outputs=gr.Markdown(label="Ronnie Sandlin GPT Says..."),
+    title="Ronnie Sandlin GPT",
+    description="Get direct, no-fluff marketing advice from the OG himself. Enter a prompt below to get started.",
+    theme=gr.themes.Base(),
+    allow_flagging="never"
+)
 
-if __name__ == "__main__":
-    demo.launch()
+# --- Launch the application ---
+iface.launch()