API and PPTX

app.py

@@ -21,8 +21,8 @@ word_embedding_model = models.Transformer('sentence-transformers/all-MiniLM-L6-v
 pooling_model = models.Pooling(word_embedding_model.get_word_embedding_dimension(), pooling_mode='cls')
 embedder = SentenceTransformer(modules=[word_embedding_model, pooling_model])
 ocr = CnOcr()
-# chat_url = 'https://Raghav001-my-api.hf.space/sale'
-chat_url = 'https://Raghav001-my-api.hf.space/chatpdf'
+# chat_url = 'https://Raghav001-API.hf.space/sale'
+chat_url = 'https://Raghav001-API.hf.space/chatpdf'
 headers = {
     'Content-Type': 'application/json',
 }
@@ -32,7 +32,7 @@ all_max_len = 3000
 
 
 def get_emb(text):
-    emb_url = 'https://Raghav001-my-api.hf.space/embeddings'
+    emb_url = 'https://Raghav001-API.hf.space/embeddings'
     data = {"content": text}
     try:
         result = requests.post(url=emb_url,
@@ -201,7 +201,7 @@ def up_file(fls):
     # #Image Extraction
     # for i in jpg:
     #     loader = UnstructuredImageLoader(i)
-    #     # data = loader.load()
+    #     data = loader.load()
     #     # content = str(data).split("'")
     #     # cnt = content[1]
     #     # # c = cnt.split('\\n\\n')