Update README.md

README.md

@@ -1,10 +1,14 @@
 ---
-language: 
+language:
 - en
+- hi
 tags:
 - audio
 - automatic-speech-recognition
 - whisper-event
+- pytorch
+- hinglish
+inference: true
 model-index:
 - name: Whisper-Hindi2Hinglish-Prime
   results:
@@ -45,38 +49,41 @@ model-index:
       value: 60.8224
       name: WER
 widget:
-    - src: audios/c0637211-7384-4abc-af69-5aacf7549824_1_2629072_2656224.wav
-      output:
-        text: Mehnat to poora karte hain.
-    - src: audios/c0faba11-27ba-4837-a2eb-ccd67be07f40_1_3185088_3227568.wav
-      output:
-        text: Haan vahi ek aapko bataaya na.
-    - src: audios/663eb653-d6b5-4fda-b5f2-9ef98adc0a61_0_1098400_1118688.wav
-      output:
-        text: Aap pandrah log hain. 
-    - src: audios/f5e0178c-354c-40c9-b3a7-687c86240a77_1_2613728_2630112.wav
-      output:
-        text: Kitne saal ki? 
-    - src: audios/f5e0178c-354c-40c9-b3a7-687c86240a77_1_1152496_1175488.wav
-      output:
-        text: Lander cycle chaahie. 
-    - src: audios/c0637211-7384-4abc-af69-5aacf7549824_1_2417088_2444224.wav
-      output:
-        text: Haan haan, dekhe hain. 
-    
-    - src: audios/common_voice_hi_23796065.mp3
-      example_title: Speech Example 1
-    - src: audios/common_voice_hi_41666099.mp3
-      example_title: Speech Example 2
-    - src: audios/common_voice_hi_41429198.mp3
-      example_title: Speech Example 3
-    - src: audios/common_voice_hi_41429259.mp3
-      example_title: Speech Example 4
-    - src: audios/common_voice_hi_40904697.mp3
-      example_title: Speech Example 5
-
+- src: audios/c0637211-7384-4abc-af69-5aacf7549824_1_2629072_2656224.wav
+  output:
+    text: Mehnat to poora karte hain.
+- src: audios/c0faba11-27ba-4837-a2eb-ccd67be07f40_1_3185088_3227568.wav
+  output:
+    text: Haan vahi ek aapko bataaya na.
+- src: audios/663eb653-d6b5-4fda-b5f2-9ef98adc0a61_0_1098400_1118688.wav
+  output:
+    text: Aap pandrah log hain.
+- src: audios/f5e0178c-354c-40c9-b3a7-687c86240a77_1_2613728_2630112.wav
+  output:
+    text: Kitne saal ki?
+- src: audios/f5e0178c-354c-40c9-b3a7-687c86240a77_1_1152496_1175488.wav
+  output:
+    text: Lander cycle chaahie.
+- src: audios/c0637211-7384-4abc-af69-5aacf7549824_1_2417088_2444224.wav
+  output:
+    text: Haan haan, dekhe hain.
+- src: audios/common_voice_hi_23796065.mp3
+  example_title: Speech Example 1
+- src: audios/common_voice_hi_41666099.mp3
+  example_title: Speech Example 2
+- src: audios/common_voice_hi_41429198.mp3
+  example_title: Speech Example 3
+- src: audios/common_voice_hi_41429259.mp3
+  example_title: Speech Example 4
+- src: audios/common_voice_hi_40904697.mp3
+  example_title: Speech Example 5
 pipeline_tag: automatic-speech-recognition
 license: apache-2.0
+metrics:
+- wer
+base_model:
+- openai/whisper-large-v3
+library_name: transformers
 ---
 
 ## Whisper-Hindi2Hinglish-Prime:
@@ -219,7 +226,7 @@ from collections import OrderedDict
 import json
 
 # Load parameter name mapping from HF to OpenAI format
-with open('convert_hf2openai.json.json', 'r') as f:
+with open('convert_hf2openai.json', 'r') as f:
     reverse_translation = json.load(f)
 
 reverse_translation = OrderedDict(reverse_translation)
@@ -272,7 +279,7 @@ model = AutoModelForSpeechSeq2Seq.from_pretrained(
 
 # Convert and save model
 model_save_path = "Whisper-Hindi2Hinglish-Prime.pt"
-save_model(model_save_path)
+save_model(model,model_save_path)
 ```
 
 - Transcribe
@@ -287,4 +294,4 @@ print(result["text"])
 
 
 ### Miscellaneous
-This model is from a family of transformers-based ASR models trained by Oriserve. To compare this model against other models from the same family or other SOTA models please head to our [Speech-To-Text Arena](https://huggingface.co/spaces/Oriserve/ASR_arena). To learn more about our other models, and other queries regarding AI voice agents you can reach out to us at our email [email]([email protected])
+This model is from a family of transformers-based ASR models trained by Oriserve. To compare this model against other models from the same family or other SOTA models please head to our [Speech-To-Text Arena](https://huggingface.co/spaces/Oriserve/ASR_arena). To learn more about our other models, and other queries regarding AI voice agents you can reach out to us at our email [[email protected]]([email protected])