chatgpt type app

app.py

@@ -1,7 +1,42 @@
 import gradio as gr
+import requests
 
-def greet(name):
-    return "Hello " + name + "!!"
+API_URL = "https://koj7q6d5hdy4h5tm.us-east-1.aws.endpoints.huggingface.cloud"
+headers = {
+    "Accept": "application/json",
+    "Authorization": "Bearer hf_XXXXX",
+    "Content-Type": "application/json"
+}
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+def process_file_or_image(file):
+    if file is None:
+        return "No file provided!"
+    
+    # Assuming API accepts file content as input
+    with open(file.name, "rb") as f:
+        file_content = f.read()
+        
+    # Sending the content to the API
+    response = query({
+        "inputs": file_content.decode("utf-8", errors="ignore"),  # Adjust as per API expectations
+        "parameters": {}
+    })
+    
+    return response
+
+# Gradio app
+with gr.Blocks() as app:
+    gr.Markdown("# File/Image Upload App")
+    gr.Markdown("Upload an image or file and send its content to the API.")
+    
+    file_input = gr.File(label="Upload an Image or File", type="file")
+    output = gr.JSON(label="API Response")
+    
+    process_button = gr.Button("Process")
+    process_button.click(process_file_or_image, inputs=file_input, outputs=output)
+
+app.launch()