.

app.py

@@ -1,34 +1,29 @@
 import gradio as gr
-import openai
+import google.generativeai as genai
 import os
 
-# Set your OpenAI API key (or use environment variables)
-openai.api_key = "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"
+# Set up Gemini API key (use environment variable on Hugging Face)
+API_KEY = os.getenv("GEMINI_API_KEY")  # Set this in Hugging Face secrets
+genai.configure(api_key=API_KEY)
 
-def chatbot(prompt, history=[]):
-    """Generates a chatbot response using OpenAI's API."""
-    messages = [{"role": "system", "content": "You are a helpful assistant."}]
-    for user_msg, bot_msg in history:
-        messages.append({"role": "user", "content": user_msg})
-        messages.append({"role": "assistant", "content": bot_msg})
-    
-    messages.append({"role": "user", "content": prompt})
-
-    response = openai.ChatCompletion.create(
-        model="gpt-4",
-        messages=messages
-    )
+# Use Gemini 1.5 Flash (free-tier accessible)
+model = genai.GenerativeModel("gemini-1.5-flash")
 
-    reply = response["choices"][0]["message"]["content"]
-    return reply
+def chatbot(prompt, history=[]):
+    """Generates a chatbot response using the free-tier Gemini API."""
+    try:
+        response = model.generate_content(prompt)
+        return response.text
+    except Exception as e:
+        return f"Error: {e}"
 
-# Create a Gradio interface
+# Create Gradio chatbot interface
 chat_interface = gr.ChatInterface(
     chatbot,
-    title="Simple OpenAI Chatbot",
-    description="A chatbot powered by OpenAI's GPT API. Start a conversation!",
+    title="Free Gemini API Chatbot",
+    description="A chatbot powered by the free-tier Google Gemini API.",
 )
 
-# Launch on Hugging Face Spaces
+# Run the chatbot
 if __name__ == "__main__":
-    chat_interface.launch()
+    chat_interface.launch()

requirements.txt

@@ -1,2 +1,2 @@
-openai
+google-generativeai
 gradio