Update app.py

app.py

@@ -57,37 +57,39 @@ def predict_emotion_from_audio(wav_filepath):
         print("Error predicting emotion:", e)
         return None
 
+api_key = os.getenv("DeepAI_api_key")
+
+# Function to generate an image using DeepAI Text to Image API
+
+
+
+
+def generate_image(api_key, text):
+    url = "https://api.deepai.org/api/text2img"
+    headers = {'api-key': api_key}
+    response = requests.post(
+        url,
+        data={'text': text},
+        headers=headers
+    )
+    response_data = response.json()
+    if 'output_url' in response_data:
+        image_url = response_data['output_url']
+        image_response = requests.get(image_url)
+        image = Image.open(BytesIO(image_response.content))
+        return image
+    else:
+        return None
+
+        
 # Function to get predictions
 def get_predictions(audio_input):
     emotion_prediction = predict_emotion_from_audio(audio_input)
     transcribed_text = transcribe(audio_input)
     texto_imagen = emotion_prediction + transcribed_text
-    image = image_edition(texto_imagen)  # Call the image edition function
+    image = generate_image(api_key, texto_imagen)
     return emotion_prediction, transcribed_text, image
 
-# Define the image edition function
-def image_edition(text):
-    try:
-        # Call the DeepAI Image Editor API
-        url = "https://api.deepai.org/api/image-editor"
-        headers = {'api-key': api_key}
-        files = {
-            'image': open('TAI_Images/TerraIncognita3.jpg', 'rb'),  # Replace 'path_to_your_image.jpg' with the actual path to your image file
-            'text': text
-        }
-        response = requests.post(url, headers=headers, files=files)
-        response_data = response.json()
-        if 'output_url' in response_data:
-            image_url = response_data['output_url']
-            image_response = requests.get(image_url)
-            image = Image.open(BytesIO(image_response.content))
-            return image
-        else:
-            return None
-    except Exception as e:
-        print("Error generating image:", e)
-        return None
-
 # Create the Gradio interface
 interface = gr.Interface(
     fn=get_predictions,
@@ -101,4 +103,21 @@ interface = gr.Interface(
     description="Create an AVE using your voice."
 )
 
-interface.launch()
+
+interface.launch()". Replace "generate_image" by image_edition "// Example posting file picker input image (Browser only):
+document.getElementById('yourFileInputId').addEventListener('change', async function() {
+       const formData = new FormData();
+       formData.append('image', this.files[0]);
+       formData.append('text', this.files[1]);
+
+       const resp = await fetch('https://api.deepai.org/api/image-editor', {
+           method: 'POST',
+           headers: {
+               'api-key': 'dee3e3f2-d5cf-474c-8072-bd6bea47e865'
+           },
+           body: formData
+       });
+
+       const data = await resp.json();
+       console.log(data);
+});