Update app.py

app.py

@@ -1,3 +1,45 @@
+
+
+#import gradio as gr
+#gr.load("models/mistralai/Mistral-7B-Instruct-v0.3").launch()
+
+import os
 import gradio as gr
+import requests
+from dotenv import load_dotenv
+
+# Load the environment variables from the .env file
+load_dotenv()
+
+API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
+headers = {"Authorization": f"Bearer {os.getenv('HFREAD')}"}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+def chatbot_response(input_text):
+    response = query({"inputs": input_text})
+    if 'error' in response:
+        return response['error']
+    return response.get('generated_text', 'No response generated.')
+
+# Gradio interface
+def main():
+    with gr.Blocks() as demo:
+        gr.Markdown("# Mistral-7B Chatbot")
+        
+        with gr.Row():
+            input_box = gr.Textbox(label="Input Text", placeholder="Type your question here...", lines=2)
+        
+        with gr.Row():
+            output_box = gr.Textbox(label="Response", placeholder="The response will appear here...", lines=5)
+        
+        submit_button = gr.Button("Submit")
+        
+        submit_button.click(fn=chatbot_response, inputs=input_box, outputs=output_box)
+    
+    demo.launch()
 
-gr.load("models/mistralai/Mistral-7B-Instruct-v0.3").launch()
+if __name__ == "__main__":
+    main()