Create app.py

app.py

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+import requests
+import gradio as gr
+import base64
+from PIL import Image
+import io
+import os
+
+# Define a function to decode the base64 image and save it as a file
+def save_image(base64_str, image_format='png'):
+    image_data = base64.b64decode(base64_str)
+    image = Image.open(io.BytesIO(image_data))
+    # Generate a unique filename
+    filename = f"output_image.{image_format}"
+    image.save(filename)
+    return filename
+
+# Define the function that will call the API and handle the image
+def query_api(negative_prompt, positive_prompt):
+    # Prepare the headers and the JSON body of the request
+    headers = {
+        "Authorization": "Api-Key eC33svnV.vbYFrAXMrBZrqb7ukIp073gVC2ikRkfJ"
+    }
+    json_data = {
+        'workflow_values': {
+            'negative_prompt': negative_prompt,
+            'positive_prompt': positive_prompt
+        }
+    }
+    
+    # Send the POST request
+    response = requests.post(
+        "https://model-6wgvjxvw.api.baseten.co/development/predict",
+        headers=headers,
+        json=json_data
+    )
+    
+    # Process the response
+    if response.status_code == 200:
+        data = response.json()
+        results = data.get('result', [])
+        if results:
+            # Assuming the first result is what we want to display
+            base64_image = results[0].get('data')
+            image_format = results[0].get('format', 'png')
+            if base64_image and image_format:
+                # Save the decoded image
+                image_path = save_image(base64_image, image_format)
+                return image_path
+            else:
+                return "No image data found in the API response."
+        else:
+            return "The API response did not contain any results."
+    else:
+        return "Failed to fetch data from the API."
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=query_api,
+    inputs=[
+        gr.Textbox(label="Negative Prompt", placeholder="Enter Negative Prompt Here"),
+        gr.Textbox(label="Positive Prompt", placeholder="Enter Positive Prompt Here")
+    ],
+    outputs=gr.File(label="Download Image", type="filepath"),
+    title="API Query Interface without ControlNet Image",
+    description="Enter a negative prompt and a positive prompt to query the API and download the resulting image."
+)
+
+# Launch the Gradio app
+iface.launch()