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Update app.py
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app.py
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@@ -1,6 +1,8 @@
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import gradio as gr
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import requests
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import time
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# AssemblyAI API Key
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ASSEMBLYAI_API_KEY = "YOUR_ASSEMBLYAI_API_KEY"
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@@ -67,6 +69,15 @@ def generate_image_from_text(text):
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else:
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return "Failed to generate image."
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# Gradio Interface function
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def process_audio(audio_file):
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# Convert speech to text
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if text and text != "Error uploading audio." and text != "Error requesting transcription.":
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# Generate image from the transcribed text
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image_url = generate_image_from_text(text)
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else:
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return "Error processing audio."
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# Set up Gradio interface
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iface = gr.Interface(fn=process_audio,
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inputs=gr.Audio(type="filepath"), #
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outputs=gr.Image(type="
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live=True,
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title="Speech-to-Text to Image Generator")
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iface.launch()
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import gradio as gr
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import requests
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import time
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from PIL import Image
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from io import BytesIO
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# AssemblyAI API Key
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ASSEMBLYAI_API_KEY = "YOUR_ASSEMBLYAI_API_KEY"
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else:
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return "Failed to generate image."
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# Function to download image from URL and return as a PIL image
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def get_image_from_url(image_url):
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try:
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response = requests.get(image_url)
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img = Image.open(BytesIO(response.content))
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return img
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except Exception as e:
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return "Error downloading image: " + str(e)
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# Gradio Interface function
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def process_audio(audio_file):
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# Convert speech to text
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if text and text != "Error uploading audio." and text != "Error requesting transcription.":
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# Generate image from the transcribed text
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image_url = generate_image_from_text(text)
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if "Failed" not in image_url:
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# Download the image from URL and return it as a PIL image
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return get_image_from_url(image_url)
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else:
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return image_url
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else:
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return "Error processing audio."
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# Set up Gradio interface
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iface = gr.Interface(fn=process_audio,
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inputs=gr.Audio(type="filepath"), # Audio input
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outputs=gr.Image(type="pil"), # Image output as PIL image
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live=True,
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title="Speech-to-Text to Image Generator")
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iface.launch()
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