Jangai commited on
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1 Parent(s): 53732b8

Update app.py

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  1. app.py +2 -8
app.py CHANGED
@@ -14,6 +14,8 @@ if not ZEPHYR_API_TOKEN or not SD_API_TOKEN:
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  ZEPHYR_API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
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  SD_API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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  headers = {
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  "Authorization": f"Bearer {ZEPHYR_API_TOKEN}",
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  "Content-Type": "application/json",
@@ -38,14 +40,6 @@ SD_API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-dif
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  print(response.text) # Provides insight into what went wrong
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  return None
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- # Example LinkedIn post text
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- linkedin_text = "Example LinkedIn post content here. How should this be visualized?"
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- zephyr_response = query_zephyr_system_user_format(linkedin_text)
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- if zephyr_response:
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- print(zephyr_response)
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- else:
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- print("Error querying the Zephyr model.")
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-
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  def generate_image_from_prompt(prompt, negative_prompt, guidance_scale, width, height, num_inference_steps):
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  headers = {"Authorization": f"Bearer {SD_API_TOKEN}"}
 
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  ZEPHYR_API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
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  SD_API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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+
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+ def query_zephyr(linkedin_text):
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  headers = {
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  "Authorization": f"Bearer {ZEPHYR_API_TOKEN}",
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  "Content-Type": "application/json",
 
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  print(response.text) # Provides insight into what went wrong
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  return None
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  def generate_image_from_prompt(prompt, negative_prompt, guidance_scale, width, height, num_inference_steps):
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  headers = {"Authorization": f"Bearer {SD_API_TOKEN}"}